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The minimum distance method of testing


  • D. Pollard


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Suggested Citation

  • D. Pollard, 1980. "The minimum distance method of testing," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 27(1), pages 43-70, December.
  • Handle: RePEc:spr:metrik:v:27:y:1980:i:1:p:43-70
    DOI: 10.1007/BF01893576

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    References listed on IDEAS

    1. E. Bolthausen, 1977. "Convergence in distribution of minimum-distance estimators," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(1), pages 215-227, December.
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    Cited by:

    1. Oliver Linton & Pedro Gozalo, 1996. "Conditional Independence Restrictions: Testing and Estimation," Cowles Foundation Discussion Papers 1140, Cowles Foundation for Research in Economics, Yale University.
    2. Rudolf Beran, 1993. "Semiparametric random coefficient regression models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 45(4), pages 639-654, December.
    3. Pedro Delicado & Juan Romo, 1998. "Constant coefficient tests for random coefficient regression," Economics Working Papers 329, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Christophe Aubry, 1999. "Asymptotic Normality of the Minimum Non-Hilbertian Distance Estimators for a Diffusion Process with Small Noise," Statistical Inference for Stochastic Processes, Springer, vol. 2(2), pages 175-194, May.
    5. Eustasio Barrio & Juan Cuesta-Albertos & Carlos Matrán & Sándor Csörgö & Carles Cuadras & Tertius Wet & Evarist Giné & Richard Lockhart & Axel Munk & Winfried Stute, 2000. "Contributions of empirical and quantile processes to the asymptotic theory of goodness-of-fit tests," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 9(1), pages 1-96, June.

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